Automated Lungs, Lung Lobes, and Pulmonary Vascular Airways Segmentation.
Utilize 3D Emphysema Visualization to Observe Its Distribution and Track Disease Progression. Enhance Understanding of Lungs and Lung Lobes with Visualized Content, Including Images and Graphs.
About 4,000 Analysis Results exported in CSV.
Export Quantitative Analysis Metrics for Research on Pulmonary Function. Utilize Detailed Analysis Reports in PDF and DICOM Formats for Clinical and Research Purposes.
Pulmonary emphysema
LAA
Airway
AWT-Pi10
Heejun Park, MS, Jaeyoun Yi, PhD, Donghoon Yu MS, Hyungi Seo MS, Jongha Park, MS, Jihye Yun, PhD, Namkug Kim, PhD, Sang Min Lee A, MD, Sang Min Lee B, MD, Joon Beom Seo, MD, PhD, "Fully Automated Workflow for Advanced Quantitative Analysis on Multi-Volume Chest CT of Patients with Chronic Obstructive Pulmonary Disease using Deep Convolutional Neural Net and Conventional Image Processing" RSNA2018, Chicago I
AI Software designed to Analyze BoneTrauma on X-Rays
Apollo’s proactive approach to detect critical conditions allows Smart Protocol to guide protocol adjustments real-time
Assistance for coronary heart disease detection
AI-Assisted radiology reports ready for review and sign-off.
